araknadash Goto Github PK

araknadash.github.io

Portfolio

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cs230-rnn-for-bmis

C230 project: Recurrent Neural Network for brain-machine interfaces: decoding arm kinematics from intracortical signal

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

eegnet

[Old version]PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

finding_lanes_opencv

Lane detection using OpenCV from a streaming video

grid-task

Grid task with RL agent avoiding obstacles to reach goal using DQN

hangprinter

A RepRap hanging from the ceiling

mnist-recognition

Number recognition using CNN and DNN

neural_decoders

Neural decoders using LSTM, RNN, CNN, DNN

roboinstruct-1

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

self-driving-car---behavior-cloning

traffic-sign-recognition

CNN based traffic signs recognition

ur3_ddpg

Implementation of DDPG on UR3 to reach a goal position

urrobotcontrollerrtc

RTC of Universal Robot (URx) for OpenRTM-aist

using-ddpg-and-her-with-demos

Implemented DDPG and HER with demonstrations for a Fetch Robot to do a Pick up and place task